How to remove duplicate rows in an R data frame if exists in two columns?
If two values are repeated in a column that means there are many same values in that column but if those values are repeated in column as well as rows then they are called duplicated rows in two columns. To remove duplicate rows in an R data frame if exists in two columns, we can use duplicated function as shown in the below examples.
Consider the below data frame −
Example
Live Demo
x1<-sample(LETTERS[1:4],20,replace=TRUE)
x2<-sample(LETTERS[1:4],20,replace=TRUE)
df1<-data.frame(x1,x2)
df1
Output
x1 x2
1 B B
2 C D
3 A A
4 C D
5 B C
6 D D
7 D A
8 A B
9 B A
10 D B
11 A B
12 B B
13 D A
14 A C
15 C A
16 A B
17 A B
18 A C
19 D A
20 B B
Removing duplicate rows if exists in two columns of df1 −
Example
df1[!duplicated(df1[c("x1","x2")]),]Output
x1 x2
1 B B
2 C D
3 A A
5 B C
6 D D
7 D A
8 A B
9 B A
10 D B
14 A C
15 C A
Example
Live Demo
y1<-rpois(20,1)
y2<-rpois(20,1)
y3<-rpois(20,1)
df2<-data.frame(y1,y2,y3)
df2
Output
y1 y2 y3
1 0 2 1
2 1 1 0
3 0 1 0
4 0 2 2
5 0 2 0
6 0 0 1
7 0 0 0
8 1 0 1
9 3 0 0
10 0 2 0
11 0 2 1
12 1 2 1
13 0 0 1
14 2 2 0
15 3 3 3
16 0 1 1
17 0 0 1
18 1 0 0
19 0 1 1
20 0 1 3
Removing duplicate rows if exists in two columns of df2 −
Example
df2[!duplicated(df2[c("y1","y2")]),]Output
y1 y2 y3
1 0 2 1
2 1 1 0
3 0 1 0
6 0 0 1
8 1 0 1
9 3 0 0
12 1 2 1
14 2 2 0
15 3 3 3
Published on 08-Feb-2021 10:43:44
